Hangwei12358's Stars
pytorch/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
ctgk/PRML
PRML algorithms implemented in Python
openai/DALL-E
PyTorch package for the discrete VAE used for DALL·E.
RUCAIBox/LLMSurvey
The official GitHub page for the survey paper "A Survey of Large Language Models".
zhouhaoyi/Informer2020
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
wangyongjie-ntu/Awesome-explainable-AI
A collection of research materials on explainable AI/ML
qingsongedu/Awesome-TimeSeries-SpatioTemporal-LM-LLM
A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.
matthewvowels1/Awesome-VAEs
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
optimass/continual_learning_papers
Relevant papers in Continual Learning
p-lambda/wilds
A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.
evanzd/ICLR2021-OpenReviewData
Crawl & visualize ICLR papers and reviews.
GT4SD/gt4sd-core
GT4SD, an open-source library to accelerate hypothesis generation in the scientific discovery process.
prprbr/awesome-lifelong-continual-learning
A list of papers, blogs, datasets and software in the field of lifelong/continual machine learning
haoranD/Awesome-Human-Activity-Recognition
An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please note that most of the collections of researches are mainly based on IMU data.
daib13/TwoStageVAE
jmtomczak/vae_vampprior
Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling
txie-93/cdvae
An SE(3)-invariant autoencoder for generating the periodic structure of materials [ICLR 2022]
tengyuma/cs229m_notes
Plankson/awesome-explainable-reinforcement-learning
A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges
hehaodele/CIDA
[ICML 2020] Continuously Indexed Domain Adaptation
georgiosarvanitidis/geometric_ml
This repository contains code for applying Riemannian geometry in machine learning.
Tian0426/CL-HAR
mqwfrog/ULTS
ULTS: A unified and standardized library of unsupervised representation learning approaches for time series
yuanqidu/M2Hub
dimkal89/rvae
mqwfrog/MHCCL
MHCCL: Masked Hierarchical Cluster-wise Contrastive Learning for Multivariate Time Series - a PyTorch Version (AAAI-2023)
siplab-gt/VAELLS
Code for "Variational Autoencoder with Learned Latent Structure"
senwu/dauphin
An uncertainty-based random sampling algorithm for data augmentation
zzpustc/ML-Application-on-Network
Offering recent HAR papers collection
csun001/CCLF
Implementation of our IJCAI 2022 paper "CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning".